Exploring disparities of teleconsultation readiness: A comparative analysis of healthcare facilities in Indonesia

Author:

Nugroho Daniel Chriswinanto Adityo12ORCID,Adisaputro Katherina1,Sigilipoe Mitra Andini1,Triastuti Ida Ayu1,Hutomo Suryani1,Septarda Ardhinta Bellano1,Yuwono Aryososepti1,Yusuf Caraka Randi1,Sulistiawan Dedik34,Gusbela Balqis5,Hsu Jason C5678,Su Emily Chia-Yu279ORCID

Affiliation:

1. Faculty of Medicine, Universitas Kristen Duta Wacana, Yogyakarta, Indonesia

2. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei

3. Faculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta, Indonesia

4. School of Public Health, Taipei Medical University, Taipei

5. International PhD Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei

6. Clinical Data Center, Office of Data Science, Taipei Medical University, Taipei

7. Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei

8. Research Center of Health Care Industry Data Science, College of Management, Taipei Medical University, Taipei

9. Institute of Biomedical Informatics, College of Medicine, National Yang Ming Chiao Tung University, Taipei

Abstract

Objectives To investigate the implementation of teleconsultation and assess the level of readiness for its adoption among various types of healthcare facilities Methods This cross-sectional study involved medical doctors working in a public hospital, a private hospital, and community health centers in Yogyakarta, Indonesia. We recruited 29 medical specialists from various departments in two hospitals and 27 heads of community health centers. The readiness items were categorized into sections that encompassed various readiness areas such as core, technological, motivational, learning, work culture, and policy readiness. Data were analyzed using a one-way analysis of variance and the Kruskal-Wallis test to evaluate differences in levels of readiness across healthcare facilities. A logistic regression analysis was conducted to further assess factors predicting the implementation of teleconsultation. Results Variations in technological readiness were observed between the community health centers and the public hospital ( p = 0.006) and the private hospital ( p = 0.007). Differences in learning readiness were found between the public hospitals and private hospitals ( p = 0.01). There were also disparities in cultural readiness between the public hospital and the private hospital ( p = 0.04) and between public hospital and community health centers ( p = 0.01). Logistic regression revealed an association between technological readiness and the use of video teleconsultation (OR  = 1.13; p = 0.017). The private hospital was more likely to implement video-based teleconsultation than was the public hospital (OR  = 2.68; p = 0.003) or community health centers (OR  = 3.13; p ≤ 0.001). Conclusion Significant differences in technology readiness were identified among community health centers, public hospitals, and private hospitals. Future policy implementation should focus on customizing technology use and providing cultural training to help healthcare institutions with different technological readiness levels.

Funder

The National Science and Technology Council in Taiwan

Ministry of Science and Technology in Taiwan

Universitas Kristen Duta Wacana

Publisher

SAGE Publications

Reference29 articles.

1. Post-Pandemic Telehealth Policy for Primary Care: An Equity Perspective

2. Effectiveness of Telehealth in Rural and Remote Emergency Departments: Systematic Review

3. Barriers and Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation at Patients’ Homes: Systematic Literature Review

4. Ministry of Health Republic of Indonesia. Minister of Health Regulation No. 20/2019 on Provision of Telemedicine Services Between Healthcare Facilities.

5. Ministry of Health Republic of Indonesia. Minister of Health Decision No. HK.01.07-MENKES-4829-2021 on Guidelines for Healthcare Services via Telemedicine During the COVID-19 Pandemic.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3